The experiment contains 12 samples; the condition of interest has 4 categories: control, recurrence, remission, ulcer.
The data have been log2 transformed and imputed using the MNAR imputation method before PCA.
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 204 162 139 118 78 70 78 48 56 46
##
## $density
## [1] 2.0420420 1.6216216 1.3913914 1.1811812 0.7807808 0.7007007 0.7807808 0.4804805 0.5605606 0.4604605
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 65 93 91 114 88 109 87 119 119 111
##
## $density
## [1] 0.6526104 0.9337349 0.9136546 1.1445783 0.8835341 1.0943775 0.8734940 1.1947791 1.1947791 1.1144578
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 142 101 89 102 120 91 85 102 106 104
##
## $density
## [1] 1.3627639 0.9692898 0.8541267 0.9788868 1.1516315 0.8733205 0.8157390 0.9788868 1.0172745 0.9980806
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 118 113 132 135 127 79 76 64 60 85
##
## $density
## [1] 1.1931244 1.1425683 1.3346815 1.3650152 1.2841254 0.7987867 0.7684530 0.6471183 0.6066734 0.8594540
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 337 230 128 83 70 46 49 41 37 32
##
## $density
## [1] 3.2003799 2.1842355 1.2155745 0.7882241 0.6647673 0.4368471 0.4653371 0.3893637 0.3513770 0.3038936
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"
## $breaks
## [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
##
## $counts
## [1] 224 89 81 95 91 73 90 103 97 96
##
## $density
## [1] 2.1559192 0.8565929 0.7795958 0.9143407 0.8758422 0.7025987 0.8662175 0.9913378 0.9335900 0.9239654
##
## $mids
## [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
##
## $xname
## [1] "stats[, pval]"
##
## $equidist
## [1] TRUE
##
## attr(,"class")
## [1] "histogram"